Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals
LapDepth-release
This repository is a Pytorch implementation of the paper “Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals”
Minsoo Song, Seokjae Lim, and Wonjun Kim*
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
Requirements
- Python >= 3.7
- Pytorch >= 1.6.0
- Ubuntu 16.04
- CUDA 9.2
- cuDNN (if CUDA available)
some other packages: geffnet, path, IPython, blessings, progressbar
Pretrained models
You can download pre-trained model
Demo images (Single Test Image Prediction)
Make sure you download the pre-trained model and placed it in the ‘./pretrained/’ directory before running the demo.
Demo Command Line:
############### Example of argument usage #####################
## Running demo using a specified image (jpg or png)
python demo.py --model_dir ./pretrained/LDRN_KITTI_ResNext101_pretrained_data.pkl